Predictive Analytics in Cyber Security - Locus IT Services

Predictive Analytics in Cyber Security

Locus IT ServicesCyber AnalyticsPredictive Analytics in Cyber Security

Predictive Analytics in Cyber Security

Simply installing a solid but static dynamics cyber analytics security solution is no longer enough: you need an excellent system for cyber security dynamics data analytics, or cyber-security analytics, to make sure that you’re agile enough to keep up tracking new trends and figuring out how to counter them in real time. These days, the biggest threats to your cyber security aren’t individual geeks poking at the chinks in your company’s code.

They’re extremely sophisticated attacks by large-scale criminal enterprises or designed to exploit their target’s specific weaknesses, state actors, and incorporating elements of automation and machine learning to keep firing faster, bigger and more effective threats until they overload your system and burrow their way through the cracks. What’s more, hacking styles evolve all the time.

The Challenge

BYOD (Bring-Your-Own-Device) and remote working policies are helping workplaces to become increasingly flexible and productive, but they can also create new weak spots that are hard for a centralized IT department to secure.

When it comes to cyber-security, delays like these are destructive. Even if they’re able to lock, by the time they’ve figured out it’s open, the horse has well and truly bolted.

Perfecting an algorithm capable of dealing with these is very hard: you need it to pick up on tiny changes, without throwing out false positives that confuse things even more.

How Threats Are Detected

Typically, cyber attacks are detected by gathering up enough information about known phishing campaigns, breaches, and existing malware as possible and tracking the “signatures” of these attacks so that systems can identify them on arrival.

In other words, these dangerous elements are like wanted criminals once they’ve attempted or committed enough crimes, their mugshot is circulated to all the security systems so as soon as they turn up they can spot them easily.

This is why the intelligent cyber security brains are moving from purely descriptive cyber security analytics by utilizing predictive analytics in cyber security.

How Predictive Analytics Helps

Here are three major ways that predictive analytics is raising the bar in cyber security dynamics data analytics :

1. Forewarned is Forearmed

Cyber security demands an ever more proactive approach. You’ll need to able to crunch your data, detect anomalies, and identify patterns in near-real time so that you can close the floodgates before your data is stolen.

Microsoft Dynamics Predictive analytics doesn’t just tell you where cybercriminals have tried to attack in the past, it helps you to see where they are likely to hit next, where your weak points and how well prepared you are to counter an attack before its to late.

Leveraging Microsoft Dynamics predictive analytics successfully means mapping patterns in your IT system and drilling right down to the details so that, the moment something happens that seems out of the ordinary, you can jump in and investigate.

2. It Can Handle Huge Volumes of Data

As it mentioned above, one of the major challenges for a strong cybersecurity solution is that you’re dealing with enormous pools of data, which can be very hard to wade through, process, and analyze for useful insights. These data streams might come from a huge range of databases, programs and devices, meaning you need a powerful BI (Business Intelligence) tool to keep them all in sync.

Once you have a system capable of doing this though predictive analytics thrives on big pools of data. In general, the more inputs you have to work with, the more complete the picture you get and the more accurate you can make your predictions.

3. It Automates Much of the Workload

Microsoft Dynamics Predictive analytics and machine learning can help you to manipulate your data and tease out crucial insights extremely quickly while taking much of the pressure off your IT department.

You’ll still need someone with an expert eye to accurately interpret patterns and findings, but much of the hard work of collecting, collating, and compiling reports is done automatically.

What’s more, as these systems gets smarter day-by-day, they will be able to take action to block new threats or fix weaknesses themselves meaning you can fight those evil bot armies with a fearsome one of your own.

Locus IT has worked with many businesses to implement, develop, and improve on their analytics solution. We provide Dynamics Analytics support, Microsoft Dynamics implementation and if you have questions about how Microsoft Dynamics analytics can address and solve your business challenges, please reach out to us. We’ll be happy to consult with you to refine your exist system or create a customized solution for you.

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